Dynamic time scales ensemble framework for similarity-based remaining useful life prediction under multiple failure modes.
Yuhui XuTangbin XiaDong WangZhen ChenErshun PanLifeng XiPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- failure modes
- main contribution
- neural network
- case study
- computer aided
- theoretical framework
- prediction accuracy
- model selection
- artificial neural networks
- dynamic environments
- feature selection
- image segmentation
- decision trees
- prediction model
- ensemble methods
- random forest
- prediction error
- ensemble learning
- ensemble classifier
- real time